Autonomous Document Processing Engine
The Challenge
A third-party logistics company processing 8,000+ shipping documents daily (bills of lading, customs declarations, invoices) across 15 disconnected systems. Manual data entry consumed 22 full-time employees, error rates averaged 6.5%, and compliance audit failures were costing $200K annually in penalties.
Our Solution
Dymaxel built an intelligent document processing engine combining OCR with LLM-powered entity extraction. Autonomous AI agents classify incoming documents, extract structured data, validate entries against business rules, and route them to the correct downstream system via API. A human-in-the-loop review dashboard flags low-confidence extractions for manual verification.
Business Results Achieved
85%
Manual Data Entry Reduction
97.3%
Data Extraction Accuracy
$1.2M
Annual Savings
99.4%
Audit Pass Rate
Ready to transform your business?
Let's discuss how we can engineer similar results for your organization.